Matchbook XDM is our next-generation external data mastering platform that unifies first-party records with multiple third-party and regional data sources into a context-aware, use-case-ready business entity graph. Built on Matchbook's proven high-precision matching (core + anchor), XDM adds schema-flexible ingestion, locale-aware cleansing, multi-source cascade enrichment, confidence scoring, and policy-driven stewardship so teams can align "the right version of the truth" to each workflow (risk, revenue ops, AML/KYC, analytics). Delivered as API and bulk services. MATCHBOOK XDM offers a SaaS-based, modular approach that reduces implementation time, simplifies B2B entity data governance, and significantly lowers total cost of ownership (TCO). XDM turns fragmented B2B data into governed, trusted intelligence.
AWS Marketplace Overview Matchbook XDM is a cloud-native External Data Mastering (XDM) platform that extends traditional Master Data Management by combining internal enterprise records with trusted commercial, regulatory, and regional datasets at scale.
Built for the modern data stack, Matchbook XDM runs natively on AWS and enables organizations to rapidly cleanse, match, enrich, and govern B2B entity data across systems. Unlike legacy MDM platforms that require long deployments and complex rule management, XDM is API-first, SaaS-delivered, and low-code configurable, allowing teams to deploy in days and scale instantly.
XDM leverages Matchbook's proven AI-based entity resolution (core + anchor multi-pass matching) to accurately unify fragmented records from CRMs, ERPs, data lakes, and third-party data providers. The platform then enriches and governs those records to create context-aware golden entities optimized for Sales, Risk, Compliance, Operations, and Analytics.
Organizations can continuously publish mastered data to AWS data lakes, analytics platforms, and operational systems via streaming or batch pipelines while monitoring data quality, lineage, and stewardship activity in real time.
Key Benefits Rapid deployment
Guided onboarding with initial loads in days
Typical rollout in under 30 days Lower total cost
Up to ~80% lower TCO compared to custom or legacy MDM through automation and SaaS operations Accurate AI matching
Explainable entity resolution with configurable rules and evidence panels Trusted enrichment
Governed connectors to commercial, regulatory, and regional datasets Business-ready golden records
Context-aware data models for Sales, Risk, Compliance, Tax, and Analytics use cases Always-on quality monitoring
Streaming validation, anomaly scoring, dashboards, and alerts Self-service stewardship
Low-code policies with full audit trails and rollback capabilities Elastic AWS scale
Consumption-based processing aligned to AWS infrastructure
Core Capabilities Entity Resolution & Matching
Unify fragmented records across CRMs, ERPs, data lakes, and external datasets using configurable AI-driven matching and auto-promotion for high-confidence results. Entity Enrichment
Combine multiple external and internal data sources using ordered source hierarchies with provenance and reliability scoring. Cleansing & Locale Normalization
Standardize global business data, including addresses, postal codes, transliteration, and business suffix normalization. Confidence Scoring & Auto-Accept Policies
Composite confidence scoring across match strength, source reliability, geography, and data freshness to automate approvals or route to stewardship. Hierarchy & Relationship Graphs
Build parent/child hierarchies and supplier-customer networks for complete business entity visibility. Stewardship Workbench
Exception queues, side-by-side comparisons, merge/split workflows, and full audit history.
Common Use Cases
-Customer 360 and lead enrichment
-Global supplier and vendor mastering
-Data lake cleansing and governance before analytics or AI
-Compliance, AML, and KYC augmentation
-M&A data harmonization and post-merger integration
-Spend analytics and supplier diversity reporting
-Who Uses Matchbook
Leading enterprises across technology, healthcare, industrial, and financial services rely on Matchbook platforms to power trusted analytics, revenue operations, supplier intelligence, and regulatory reporting.
Contact:
sales@matchbookai.comWebsite
Highlights
Unified Customer View & Multi-Domain Mastering: Achieve a single, trusted 360 view of customer data across systems, enabling personalized engagement and better customer experience. Manage company and location data from a single platform to drive consistency and trust across domains, ensuring a comprehensive and reliable data foundation.
Operational Efficiency & AI-Powered Data Management: Enhance operational efficiency by preventing duplication, reducing data entry errors, and improving synchronization between CRM, ERP, Finance, Marketing, Sales, and other enterprise systems. Leverage AI/ML to intelligently match, merge, and deduplicate records, enhancing data quality at scale with minimal manual effort.
Self-Service Data Access & Stewardship: Enable teams to search, visualize, and consume golden records through intuitive dashboards and APIs, reducing IT dependency. Empower data stewards with intuitive tools to review, resolve, and approve data changes, ensuring business ownership of data quality. Monitor key data quality metrics in real-time - completeness, accuracy, duplication, and timeliness - to drive continuous improvement.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
MatchbookAI MDM platform with all the functionalities up to 50000 records and single host. Please reach us at sales@matchbookai.com for more information about pricing based on your business requirements.
This listing offers a single contract option. You get the MatchbookAI MDM platform with all functionalities, capped at 50,000 records on a single host. Pricing is measured in units, so the record volume and host limit define what one contract covers. The platform handles matching, cleansing, enrichment, and unification of B2B entity data. Because the contract is scoped to these limits, larger record volumes or additional hosts fall outside this standard option. Contact the vendor at sales@matchbookai.com to discuss pricing that fits requirements beyond the 50,000-record and single-host boundaries.
Top-of-mind questions for buyers
What counts as one record toward the 50,000-record limit?
A record is a single B2B entity in your data, such as one company, vendor, or customer profile. The platform matches, cleanses, and unifies these entities into consistent golden records. Your total count across ingested and mastered entities must stay within 50,000 under this contract.
What does the single-host limit mean for how I deploy the platform?
This contract runs the platform on one host, meaning a single deployment environment. All matching, cleansing, enrichment, and unification run within that one host. If you need more hosts to support separate environments or added capacity, that falls outside this contract. Contact sales@matchbookai.com for those needs.
What happens if my record volume grows beyond 50,000?
This contract covers up to 50,000 records on a single host. Higher record volumes are not included in this standard option. You would need pricing scoped to your larger volume. Contact the vendor at sales@matchbookai.com to arrange terms that fit your requirements.
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Vendor refund policy
We don't have a refund policy. Please reach us at sales@matchbookai.com for more details.
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End-to-end data and identity management services on AWS, including data cleansing, entity resolution, enrichment, and identity lifecycle management. Matchbook helps organizations unify data and identities across CRMs, ERPs, and digital platforms, enabling secure access, trusted analytics, AI readiness, and compliance at scale.
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